Title :
A real-time ventricular arrhythmia detection system based on the KL transform and sequential-hypothesis testing
Author :
Dorsett, Thomas J. ; Guilak, Farzin ; Taylor, Lee A.
Author_Institution :
Protocol Syst. Inc., Beaverton, OR, USA
Abstract :
The single lead arrhythmia detection system described in this paper uses the Karhunen-Loeve (KL) transform for clustering of QRS complexes of like morphology. A heuristic rule set is employed to label the beats as Normal or Ventricular. In parallel with the beat detection and labeling algorithm is a life-threatening arrhythmia (LTA) detection algorithm which relies on sequential hypothesis testing to detect V-Fib or V-Tach. Average performance for both algorithms is above 90% In testing with both the MIT and AHA databases
Keywords :
electrocardiography; medical signal processing; real-time systems; signal detection; transforms; AHA database; Karhunen-Loeve transform; MIT database; QRS complexes clustering; algorithm performance; electrodiagnostics; heuristic rule set; life-threatening arrhythmia; normal beats; real-time ventricular arrhythmia detection system; ventricular beats; Clustering algorithms; Detection algorithms; Detectors; Karhunen-Loeve transforms; Labeling; Prototypes; Real time systems; Rhythm; Sequential analysis; Shape;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579431
